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Entry Level Geospatial Data Engineer Jobs in Seattle, WA

Pwc

AI & GenAI Data Scientist-Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Casne Engineering, Inc.

Be Seen First

Electrical Engineer - Entry Level

Bellevue, WA · On-site

$75K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Casne Engineering is seeking an energetic, self-starting individual to provide electrical design ... Data, Networking and Communication Systems * Fire Alarm, Security and Other Auxiliary Systems * PLC ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$66K - $77K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ...

WSP

Environmental Data Analytics Specialist

Redmond, WA

$66K - $77K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ...

Puget Sound Energy

Civil Engineer I

Snoqualmie, WA · On-site

$80K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The engineer shall possess entry level experience and/or understanding of civil and structural ... Acquires performance data from new and existing equipment or systems and validates against design ...

Puget Sound Energy

Civil Engineer I

Snoqualmie, WA

$80K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The engineer shall possess entry level experience and/or understanding of civil and structural ... Acquires performance data from new and existing equipment or systems and validates against design ...

Puget Sound Energy

Civil Engineer I

Snoqualmie, WA

$80K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The engineer shall possess entry level experience and/or understanding of civil and structural ... Acquires performance data from new and existing equipment or systems and validates against design ...

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All JobsGeospatial Data Engineer JobsEntry Level Geospatial Data Engineer JobsEntry Level Geospatial Data Engineer Jobs in Seattle, WA

Entry Level Geospatial Data Engineer information

See Seattle, WA salary details

$6

$53

$102

How much do entry level geospatial data engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for entry level geospatial data engineer in Seattle, WA is $53.07, according to ZipRecruiter salary data. Most workers in this role earn between $40.77 and $65.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level geospatial data engineer, and why are they important?

To thrive as an Entry Level Geospatial Data Engineer, a solid understanding of GIS concepts, spatial data analysis, and a relevant degree in geography, computer science, or a related field is essential. Familiarity with tools like ArcGIS, QGIS, Python, and SQL, as well as experience with geospatial databases, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals excel in collaborating with teams and interpreting complex data. These skills ensure accurate geospatial solutions and support critical decision-making in industries like urban planning, environmental management, and logistics.

What is an entry level geospatial data engineer?

Entry level geospatial data engineers are professionals who work with geographic information systems (GIS) and spatial data to collect, process, and analyze location-based information. They use programming, data management tools, and mapping software to support projects in fields such as urban planning, environmental science, and logistics. At the entry level, these engineers assist in database maintenance, data cleaning, and creating visualizations while learning industry standards and best practices.

What is the difference between Entry Level Geospatial Data Engineer vs GIS Analyst?

AspectEntry Level Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography; certifications like GISP are common
Work EnvironmentData processing, database management, scripting, software developmentMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, consulting firms
Common Search & ComparisonYesYes

Entry Level Geospatial Data Engineers focus on building and managing spatial data systems, often involving programming and database skills. GIS Analysts primarily analyze and visualize spatial data to support decision-making. While both roles require GIS knowledge, Data Engineers emphasize data infrastructure, whereas Analysts focus on spatial analysis and reporting.

What are some common challenges faced by entry level geospatial data engineers when working with large spatial datasets?

Entry level geospatial data engineers often encounter challenges related to the size and complexity of spatial datasets, such as slow processing times, data quality issues, and difficulties with data integration from various sources. Learning to use specialized tools like GIS software and spatial databases efficiently is crucial for handling these challenges. Collaborating with more experienced engineers and data scientists can help new hires develop best practices for data cleaning, transformation, and visualization, which are key skills in this role.

What are the most commonly searched types of Geospatial Data Engineer jobs in Seattle, WA?

The most popular types of Geospatial Data Engineer jobs in Seattle, WA are:

What are popular job titles related to Entry Level Geospatial Data Engineer jobs in Seattle, WA?

For Entry Level Geospatial Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Geospatial Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Entry Level Geospatial Data Engineer jobs in Seattle, WA are:

Entry Level Geospatial Data Engineer jobs near you

Software Engineer - Full Stack/Backend

Worldscape Technology Inc.

Redmond, WA

$100K - $130K/yr

Full-time

Re-posted 24 days ago

Job description

Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. 
Responsibilities:
  • Design and implement backend services and APIs to power scalable, secure, and efficient agentic solutions.  
  • Develop and optimize data pipelines for ingestion, transformation, and real-time processing of large datasets.  
  • Development distributed systems leveraging cloud platforms (Azure, AWS, or GCP) and containerization (Docker/Kubernetes) for high availability and fault tolerance.  
  • Integrate backend logic with front-end frameworks (React, Next.js, Typescript) to deliver seamless user experiences.  
  • Implement security best practices across authentication, authorization, and data protection layers.  
  • Collaborate with cross-functional teams including product management, design, and QA to align technical solutions with business goals.  
  • Conduct code reviews and enforce standards for performance, reliability, and security.  
  • Continuously research and integrate emerging technologies such as LLM orchestration, multi-agent systems, and knowledge graphs.  
  • Document architecture and technical decisions for transparency, scalability, and maintainability.  
Professional Qualifications:
  • Bachelor’s degree in computer science, AI/ML, Data Engineering, or related field.
  • Strong proficiency in coding languages (e.g., C#, Java, Python, or C++). 
  • Passion for solving customer problems. 
  • Hands-on experience with data pipelines, cloud platforms (Azure, AWS, or GCP), and containerization (Docker/Kubernetes).
  • Proven ability to work in agile environments, managing ambiguity and delivering impactful outcomes. 
Preferred Qualifications:
  • Experience in building AI-driven applications or distributed systems.
  • Hands-on experience developing full-stack solutions (React, Next.js, Typescript, Node.js) 
  • Experience with nsjail, Firecracker and MS Orleans preferred.
  • Experience with vector databases, semantic search, and prompt engineering.
  • Knowledge of reinforcement learning, planning algorithms, or multi-agent coordination.
  • Familiarity with LLM frameworks, agent orchestration, and knowledge representation techniques.

Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. 

Why Worldscape? 
There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day.  Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. 

What we offer: 
- Competitive salary and meaningful equity 
- Attractive benefits package  
- Flexible time off policy 
- Medical, Dental and Vision insurance 
- HSA health insurance options 
- 401k plan 
- Basic and Voluntary Life Insurance
- Fast paced environment with flexibility and ownership
 
Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Employment is contingent upon successful completion of a background check.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.